Triple

T14501496
Position Surface form Disambiguated ID Type / Status
Subject Gausdal E359649 entity
Predicate borders P224 FINISHED
Object Søndre Land E432628 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Søndre Land | Statement: [Gausdal, borders, Søndre Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Søndre Land
Context triple: [Gausdal, borders, Søndre Land]
  • A. Søndre Land chosen
    Søndre Land is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and traditional agricultural landscape.
  • B. Wilkes Land
    Wilkes Land is a vast, largely ice-covered region of Antarctica facing the Indian Ocean, known for its extensive ice sheet and underlying geological structures.
  • C. Nordenskiöld Land
    Nordenskiöld Land is a region on the island of Spitsbergen in the Svalbard archipelago of Norway, encompassing the area around the main settlement of Longyearbyen.
  • D. Enderby Land
    Enderby Land is a remote, ice-covered coastal region of Antarctica along the Southern Ocean, known for its harsh climate and largely unexplored terrain.
  • E. Queen Maud Land
    Queen Maud Land is a region of Antarctica claimed by Norway, known for its vast ice-covered terrain and numerous research stations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.